• DocumentCode
    4216
  • Title

    Adjustable Robust Real-Time Power Dispatch With Large-Scale Wind Power Integration

  • Author

    Zhigang Li ; Wenchuan Wu ; Boming Zhang ; Bin Wang

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    6
  • Issue
    2
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    357
  • Lastpage
    368
  • Abstract
    In this paper, we propose a robust real-time wind power dispatch framework for coordinating wind farms, automatic generation control (AGC) units, and nonAGC units, which enables wind farms to operate flexibly using maximum power-point tracking strategies. Robust real-time dispatch is formulated as an adjustable robust optimization model incorporating an affinely adjustable controlling strategy compatible with AGC systems. The proposed model can be equivalently transformed to a nonlinear programming problem with linear constraints via duality. The proposed model can also be approximately reduced to a quadratic programming with the objective function simplified. Monte Carlo simulations are carried out to compare the performance of the proposed method against the conventional real-time dispatch scheme. The results show the proposed scheme is robust and reliable.
  • Keywords
    Monte Carlo methods; maximum power point trackers; nonlinear programming; power generation dispatch; quadratic programming; wind power plants; AGC units; Monte Carlo simulations; adjustable robust optimization model; adjustable robust real-time power dispatch; automatic generation control; large-scale wind power integration; linear constraints; maximum power-point tracking strategies; nonlinear programming; quadratic programming; robust real-time wind power dispatch framework; wind farms; Automatic generation control; Optimization; Real-time systems; Robustness; Uncertainty; Wind farms; Wind power generation; Adjustable robust optimization; prediction intervals (PIs); real-time dispatch; wind power;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2377752
  • Filename
    7001653